Plotting temperature of 60 separate unique nodes (temperature parameter)

# import libraries 
import os
import sys
import pandas as pd
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
plt.style.use('seaborn-whitegrid')
import numpy as np
import warnings
warnings.filterwarnings("ignore")
#from IPython.core.display import display, HTML
#display(HTML("<style>.container { width:100% !important; }</style>"))
from tqdm.notebook import tqdm_notebook
tqdm_notebook.pandas()
import fastparquet
os.chdir('D:\\AOT_TEMPERATURE_ONLY_DATASET\\AoT_Chicago.complete.temp1')

df3 = pd.read_parquet('333_tempset_1_perfect.parquet', 
                       engine='fastparquet')

df3.head(10)

	node_id	subsystem	sensor	parameter	value_hrf
timestamp
2019-01-01 00:00:00	001e06113f54	metsense	pr103j2	temperature	43.16
2019-01-01 00:00:01	001e0610ee33	metsense	pr103j2	temperature	39.56
2019-01-01 00:00:01	001e061146bc	metsense	pr103j2	temperature	37.40
2019-01-01 00:00:01	001e061146cb	metsense	pr103j2	temperature	38.48
2019-01-01 00:00:02	001e0610bc12	metsense	pr103j2	temperature	40.28
2019-01-01 00:00:02	001e0610f02f	metsense	pr103j2	temperature	39.20
2019-01-01 00:00:03	001e0610ee36	metsense	pr103j2	temperature	39.83
2019-01-01 00:00:04	001e0610f6db	metsense	pr103j2	temperature	48.65
2019-01-01 00:00:05	001e0610ee5d	metsense	pr103j2	temperature	38.30
2019-01-01 00:00:06	001e06113a24	metsense	pr103j2	temperature	40.73

len(df3.node_id.unique())

60

# 12M rows of data 

plt.style.use("dark_background")

small_window = list(df3.node_id.unique())

for w in small_window:
    plt.figure(figsize=(13,4),dpi = 200)
    plt.grid(False)
    sns.lineplot( x = df3[df3.node_id == w].index, 
             y=df3[df3.node_id == w].value_hrf, 
             linewidth=.7,
             color='cyan')
    sns.despine()
    plt.xlabel(''),
    plt.ylabel('Temperature (F)')
    plt.title('node_id: = {}'.format(w))
    plt.tight_layout()
    plt.show()